Lead Artificial Intelligence Specialist
Petaling Jaya, Selangor, Malaysia
Bjak
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Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.
Our core strengths are in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.
If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.
Job Description:
We are seeking a highly skilled and experienced Lead Artificial Intelligence Specialist to lead our AI initiatives. As the Lead AI Specialist, you will be responsible for driving the development and implementation of AI solutions across various projects and departments. You will lead a team of AI engineers and data scientists, guiding them in designing, developing, and deploying cutting-edge AI models and algorithms.
Responsibilities:
- Lead the development and implementation of AI solutions to solve complex business problems.
- Collaborate with stakeholders to understand business requirements and identify opportunities for AI integration.
- Manage and mentor a team of AI engineers and data scientists, providing technical guidance and support.
- Design and architect AI systems and pipelines, ensuring scalability, reliability, and performance.
- Research and evaluate new AI techniques, tools, and technologies to stay at the forefront of the field.
- Develop and deploy machine learning models and algorithms for various applications, such as natural language processing, computer vision, and predictive analytics.
- Collaborate with software engineers to integrate AI solutions into existing systems and applications.
- Lead AI-related projects from conception to deployment, ensuring timely delivery and adherence to quality standards.
- Drive innovation and continuous improvement in AI methodologies, processes, and practices.
- Stay updated on industry trends and best practices in AI and machine learning.
Requirements
- Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Proven experience in leading AI projects and teams, with a minimum of [X] years in a leadership role.
- Expertise in machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Proficiency in programming languages such as Python, R, or Java, and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
- Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) for AI development and deployment.
- Excellent problem-solving and analytical skills, with a focus on delivering actionable insights and solutions.
- Strong leadership, communication, and interpersonal abilities.
- Ability to work effectively in a cross-functional team environment and manage multiple priorities.
Benefits
- Be at the forefront at tackling the hardest problems within the insurance industry
- Team culture - highly practical and results oriented
- Free training and development, constantly improve yourself
- Subsidized insurance coverage for medical and life insurance
- Great lifestyle - free weekly lunch and many more
- Hybrid working arrangement
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data Computer Science Computer Vision Deep Learning Engineering Feature engineering GCP Google Cloud Hadoop Java Machine Learning Mathematics ML models NLP Pipelines Python PyTorch R Reinforcement Learning Research Scikit-learn Spark TensorFlow Unsupervised Learning
Perks/benefits: Career development Health care
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